National Institute of Technology Silchar, an institution of national importance in Assam, has invited applications for Postdoctoral Fellowship (PDF) positions under the Visvesvaraya PhD Scheme for Electronics and IT, Phase II, sponsored by MeitY. The fellowship is a full-time, temporary research position tenable at the institute for the academic year 2026-27, with openings across departments such as Computer Science, Electrical, Electronics and Communication, and Electronics and Instrumentation Engineering. The number of positions is as per the official notification.
NIT Silchar Recruitment 2026 - Postdoctoral Fellowship Posts
Posted 01 Oct 2026Updated 01 Oct 2026NITS/VPDF/2026-27/01
Total Vacancies
—
Last Date
20 Oct
2 days left
Apply Mode
Online
Temporary
Status
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Recruitment status
Applications open
Last date 20 Oct 2026 · 2 days left
- Notification30 Sept
- Applications Open01 Oct
NIT Silchar Recruitment 2026 - Postdoctoral Fellowship Posts
Job Overview
- Organization
- National Institute of Technology Silchar
- Advertisement No.
- NITS/VPDF/2026-27/01
- Post Name
- Postdoctoral Fellowship (PDF)
- Job Location
- Silchar, Assam
- Who Can Apply
- Candidates from anywhere in India (The PDF applicant should be an Indian citizen; the fellowship is tenable in India only)
- Job Type
- Temporary
- Age Limit
- Up to 40 years
- Gender
- All
- Nationality
- Indian
- Pay Scale
- Rs. 1,08,393 per month (consolidated)
- Tenure
- 1 year
Vacancy Breakdown
Postdoctoral Fellowship (PDF)
| Post Name | Total |
|---|---|
| Postdoctoral Fellowship (PDF) |
Eligibility Details
Postdoctoral Fellowship (PDF)
The PDF applicant must have obtained a PhD degree from a recognised university with first class (in terms of grades, etc.) in all preceding levels and a good academic record throughout. The PhD must have been completed within the past 5 years on the last date of submission of the application, and must not have been completed at the host institution where the fellowship is to be awarded.
| Post | Qualification |
|---|---|
| Postdoctoral Fellowship (PDF) | The PDF applicant must have obtained a PhD degree from a recognised university with first class (in terms of grades, etc.) in all preceding levels and a good academic record throughout. The PhD must have been completed within the past 5 years on the last date of submission of the application, and must not have been completed at the host institution where the fellowship is to be awarded. |
Age Limit
Maximum 40 years on the date of submission of the application
Selection Process
- 1Shortlisting by Admission Core Committee
The admission core committee screens applications and may set higher shortlisting criteria than the minimum eligibility.
- 2Interview
Shortlisted candidates are informed by email to attend the interview; tentative schedule is 28-10-2026.
Salary Structure
Rs. 1,08,393 per month (consolidated)
Fellowship: Rs. 1,08,393/month for up to 1 year Contingency Grant: Rs. 1,00,000/year, disbursed on a pro-rata basis (e.g. Rs. 25,000/quarter)
How to Apply
- 1Fill out the online Google Form application for the Visvesvaraya PDF position.
- 2Download and complete the prescribed application form.
- 3Compile an updated biodata, the filled-in application form, relevant certificates and mark sheets into one PDF.
- 4Self-attest every scanned page and merge all documents into a single PDF file.
- 5Upload the merged PDF through the online application form link.
Documents to Carry / Upload
•Duly filled-in application form (hard copy)
•Mark sheets and grade cards of Secondary (10th)
•Higher Secondary (12th) and all university examinations (UG/PG/PhD)
•Proof of date of birth
•Research proposal write-up defining objectives
•Outcomes and deliverables
•Documents related to publications
•Patents and other testimonials
Important Details
- The fellowship is a full-time, non-transferable, temporary position tenable in India only, and the applicant must be an Indian citizen.
- Candidates in regular employment will not be considered; scientists or researchers on temporary positions in academia or research institutions may apply but must relinquish their current role if selected.
- A suitable Mentor/Guide holding a regular academic or research position with a PhD in Science or Engineering must be identified by the institution.
- Preference is given to applicants with active industry linkages and research proposals directed at industry-specific problems.
- Anyone who has already availed the fellowship under the scheme is not eligible.
- Female candidates may avail up to 6 months of maternity leave with fellowship support, within a maximum of 12 months of total fellowship support; only fellowship is admissible during maternity leave.
- No extension beyond one year is admissible.
- No TA/DA is provided and candidates must arrange their own stay.
Specialisations in PDF Program under the Scheme
Computer Science Engineering
Specialisation: Machine Learning, Deep Learning, Artificial Intelligence, Signal and Image Processing, Natural Language Processing, Communication Systems (Wireless, Optical, Networking), Security and Cryptography, Quantum Computing, Computer Vision, Optimisation, Data Science, Bioinformatics, Health Informatics, Distributed Computing, Blockchain, Multimedia Technologies
Electrical Engineering
Specialisation: Control of Cyber-Physical Systems, Biomedical Systems and Control, Socio-Psychological Modelling, Computer Vision, Signal Processing, Intelligent Instrumentation, Semiconductor Devices, Packaging, Wide Bandgap Devices, IGBT Modules, EV Charging, Solid-State Transformers, Low-Power DC-DC Converters, VLSI, Embedded Systems, Memory Design, Image Processing, IoT, Power Management ICs
Electronics and Communication Engineering
Specialisation: Signal Processing, Analog/Digital Circuits, VLSI & MEMS, Semiconductor Devices & Modeling, Micro/Nanoelectronics, Nanotechnology & Biosensors, Solar Cells, Communication Systems (Wireless, Optical, Satellite, 5G/6G, UAV, RF MEMS), Antennas & Metamaterials, Information Theory, Energy Harvesting, Optimization, Machine Learning & Deep Learning, Perovskite Materials, Band Structure, RF Resonators
Electronics and Instrumentation Engineering
Specialisation: Energy storage & management (batteries, supercapacitors, solar PV, EVs), Healthcare automation & drug delivery systems, Nanosensors & flexible electronics, 5G and beyond communication, Signal & image processing, Blockchain technology, AI/ML/DL in renewable energy and biomedical engineering, VLSI & emerging memory technologies (materials, fabrication, characterisation)
| Department | Specialisation |
|---|---|
| Computer Science Engineering | Machine Learning, Deep Learning, Artificial Intelligence, Signal and Image Processing, Natural Language Processing, Communication Systems (Wireless, Optical, Networking), Security and Cryptography, Quantum Computing, Computer Vision, Optimisation, Data Science, Bioinformatics, Health Informatics, Distributed Computing, Blockchain, Multimedia Technologies |
| Electrical Engineering | Control of Cyber-Physical Systems, Biomedical Systems and Control, Socio-Psychological Modelling, Computer Vision, Signal Processing, Intelligent Instrumentation, Semiconductor Devices, Packaging, Wide Bandgap Devices, IGBT Modules, EV Charging, Solid-State Transformers, Low-Power DC-DC Converters, VLSI, Embedded Systems, Memory Design, Image Processing, IoT, Power Management ICs |
| Electronics and Communication Engineering | Signal Processing, Analog/Digital Circuits, VLSI & MEMS, Semiconductor Devices & Modeling, Micro/Nanoelectronics, Nanotechnology & Biosensors, Solar Cells, Communication Systems (Wireless, Optical, Satellite, 5G/6G, UAV, RF MEMS), Antennas & Metamaterials, Information Theory, Energy Harvesting, Optimization, Machine Learning & Deep Learning, Perovskite Materials, Band Structure, RF Resonators |
| Electronics and Instrumentation Engineering | Energy storage & management (batteries, supercapacitors, solar PV, EVs), Healthcare automation & drug delivery systems, Nanosensors & flexible electronics, 5G and beyond communication, Signal & image processing, Blockchain technology, AI/ML/DL in renewable energy and biomedical engineering, VLSI & emerging memory technologies (materials, fabrication, characterisation) |
Contact
Email: [email protected]
Phone: 9435730169
Frequently Asked Questions
Can candidates currently in regular employment apply for the NIT Silchar PDF fellowship?
No. Applicants holding regular employment are not considered. Those on temporary positions in academia or research institutions may apply, but they must give up their current role if selected.
Can someone who completed the PhD at NIT Silchar apply?
No. Applicants should not have completed their PhD at the same institution where the PDF fellowship is to be awarded.
How recent must the PhD be?
The PhD must have been completed within the past 5 years on the last date of submission of the application.
Can the fellowship be extended beyond one year?
No. Any extension beyond one year of support is not admissible under the scheme.
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